Study on efficient image indexing method based on adaptive fuzzy clustering

This paper presents a method of automatic acquisition threshold value that changes dynamically with data distribution by polynomial fitting technique. The proposed method overcomes the sensitivity to cluster centers and locality of FCM (fuzzy c-means) algorithm and establishes an index mechanism on the basis of above analysis. Simulations show that the adaptable fuzzy clustering image indexing performs well in retrieval efficiency.